Render a 'photo-grid promo card' video from a config — a real-DOM card with a FIXED header/footer and a CONTINUOUSLY SCROLLING 2-row grid of MIXED tiles (video clips, product/lifestyle stills, big-serif %-OFF, dark promo-code or CTA) + feature chips, frame-stepped via Playwright with real-time <video> playback and encoded with FFmpeg — deterministic assembly, FREE (the clips + music come from create-video-fal + create-music-elevenlabs), text stays pixel-crisp. Use for the photo-grid-promo-card format.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-photo-grid-card
Render the 'photo-grid promo card' format from a config. The signature of this format is a
continuously scrolling 2-row grid (NOT a static card) under a fixed header (brand
wordmark + big headline + sub) and fixed feature chips. The grid-viewport scrolls left
across the whole ~10s, edge-faded with a CSS mask, and its tiles are mixed media:
video clips playing inside tiles, band-product/photo stills, big-serif pct/off
type tiles, and a dark code (promo code) or cta tile.
The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs
are separate capabilities: the tile clips come from create-video-fal (i2v of the
product heroes, or clips extracted from the brand's own ad corpus) and the music from
create-music-elevenlabs. Text (wordmark, %, code) is real DOM — never AI-rendered.
build_card.py --config config.json --out hyperframe.html ; render.py --config config.json --html hyperframe.html --out master-silent.mp4 — 1080x1920, scrolling grid, deterministic, $0.
Clip tiles are driven by FRAME-SWAP, not <video>: render.py pre-extracts each clip to
PNG frames with ffmpeg, preloads them, and swaps each <img class="vidframe">'s src per
output frame. This is because Playwright's bundled Chromium can't decode <video> H.264
over file:// (open-source build, no proprietary codecs) — it hangs on canplay. Letting
ffmpeg decode makes it codec-independent AND deterministic. Provide clips longer than the
master (or the swap just loops them); a subtle setpts-slow reads as cinematic.
cols), NOT total tiles; the grid fills row-major.Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Take gooseworks-ai/render-photo-grid-card from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.